EPSCoR Research Fellows: NSF: Artificial Intelligence Test Platform for Plant Single-Cell Protein Data and Use Cases
Ente: EPSCoR RII: EPSCoR Research Fe
Scadenza: 2028-04-30
Importo max: 300.000 EUR
Paese: US
Descrizione
This Research Infrastructure Improvement (RII) EPSCoR Research Fellows project provides a fellowship to an Assistant professor and training for a graduate student at the University of Nebraska-Lincoln. This work is conducted in collaboration with Iowa State University. Through the fellowship, the PI will develop an artificial intelligence platform that helps plant scientists analyze and query emerging single-cell protein data through standardized use cases. While many studies measure gene activity, proteins carry out most biological functions, and new technologies allow researchers to measure proteins in plant cells. However, these data are difficult to interpret and often inaccessible without advanced training. This project will create user-friendly tools that integrate protein and gene data and allow researchers to ask biological questions using natural language. The work combines computer science, plant biology, and data science, and will strengthen research capacity, workforce training, and digital agriculture innovation in Nebraska.
This project will establish a prototype artificial intelligence test bed for integrating plant single-cell proteomics and transcriptomics into a unified analytical framework. The intellectual contribution lies in developing plant-specific data standards and scalable computational pipelines that address the sparsity and heterogeneity of single-cell protein measurements. The PI will implement cross-modal embedding methods, machine learning-based imputation, protein-protein interaction network integration within a web-accessible environment. A chatbot-guided interface will be developed to support structured query translation into validated analytical workflows, improving interpretability and usability for domain scientists. The fellowship will expand research infrastructure at the University of Nebraska-Lincoln by enhancing expertise in proteomics-driven artificial intelligence, strengthening collaborations with Iowa State University, and creating training opportunities for graduate students in computational plant biology. The project will integrate research, workforce development, and cross-institutional collaboration to advance artificial intelligence applications in plant systems science. This project is supported by the EPSCoR Research Infrastructure Improvement Program: EPSCoR Research Fellows (ERF). The ERF program supports early- and mid-career investigators in eligible jurisdictions to develop collaborations at the nation’s private, government or academic research institutions.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Istituzione: University of Nebraska-Lincoln
Sede: LINCOLN, NE
PI: Qiuming Yao
Settori: EPSCoR RII: EPSCoR Research Fe
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